Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
20,966
datasets available to search
ShareScore release 0.8.0
Dataset results
20,966 results for “Landsat Enhanced Thematic Mapper”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 2005-08-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 2005-08-14 (18:44:29.1540500Z) by Landsat 5, row 29, path 46. Cloud cover was 2.87 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50460292005226PAC01, LPGS_12.0.0, USGS, Sioux Falls, 2012-03-28T05:50:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-01-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-01-26 (16:22:56.0280190Z) by Landsat 5, row 28, path 27. Cloud cover was 50 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992026AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-13T01:16:28Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-02-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-02-11 (16:22:45.7330810Z) by Landsat 5, row 28, path 27. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992042XXX02, LPGS_12.0.0, USGS, Sioux Falls, 2012-03-30T18:41:58Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-03-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-03-30 (16:22:42.0420560Z) by Landsat 5, row 28, path 27. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992090XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:10:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-05-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-05-01 (16:22:26.6930250Z) by Landsat 5, row 28, path 27. Cloud cover was 37.37 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992122PAC03, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-14T08:55:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-06-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-06-02 (16:22:08.7870810Z) by Landsat 5, row 28, path 27. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992154XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-12T13:49:38Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-07-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-07-20 (16:21:33.3470500Z) by Landsat 5, row 28, path 27. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992202AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:21:59Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-08-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-08-05 (16:21:21.6900250Z) by Landsat 5, row 28, path 27. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992218XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:10:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-09-06
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-09-06 (16:20:51.2960810Z) by Landsat 5, row 28, path 27. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992250AAA02, LPGS_12.0.0, USGS, Sioux Falls, 2012-03-29T17:55:35Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-09-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-09-22 (16:20:34.4770500Z) by Landsat 5, row 28, path 27. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992266AAA02, LPGS_12.0.0, USGS, Sioux Falls, 2012-03-29T17:54:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1992-10-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1992-10-24 (16:20:02.2160810Z) by Landsat 5, row 28, path 27. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281992298AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:11:34Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 2005-08-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 2005-08-30 (18:44:33.3220060Z) by Landsat 5, row 29, path 46. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50460292005242EDC00, LPGS_11.6.0, USGS, Sioux Falls, 2012-03-02T20:50:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1993-01-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1993-01-12 (16:20:13.6520440Z) by Landsat 5, row 28, path 27. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281993012AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-13T01:15:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1993-01-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1993-01-28 (16:20:23.6760380Z) by Landsat 5, row 28, path 27. Cloud cover was 50 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281993028XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-13T01:19:43Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1993-03-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1993-03-01 (16:20:40.0610130Z) by Landsat 5, row 28, path 27. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281993060XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:21:01Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1993-03-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1993-03-17 (16:20:48.1570060Z) by Landsat 5, row 28, path 27. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281993076XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:23:04Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1993-04-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1993-04-02 (16:20:51.7020880Z) by Landsat 5, row 28, path 27. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281993092XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:14:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1993-05-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1993-05-04 (16:21:04.2150500Z) by Landsat 5, row 28, path 27. Cloud cover was 50 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281993124XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:12:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1993-06-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1993-06-05 (16:21:09.8670560Z) by Landsat 5, row 28, path 27. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281993156XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T23:15:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1993-06-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1993-06-21 (16:21:06.2100310Z) by Landsat 5, row 28, path 27. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50270281993172AAA03, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-22T18:11:10Z.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.